Senior ASR Engineer / Speech AI & Machine Learning (m/w/d)

We, the emagine, are seeking a Senior ASR Engineer (m/w/d) to join our ASR R&D team and engage in cutting-edge research. This role integrates both research and development, necessitating a strong passion for innovation and hands-on expertise in Automatic Speech Recognition (ASR), machine learning, and language technologies.

Project Details:

Duration: 6 months with potential for extension
Fully remote, start date: as soon as possible

Principal Duties and Responsibilities:

• Conduct experiments to assess the quality of ASR models and analyze the impact of various parameter tuning on speech recognition accuracy.

• Identify, optimize, and cluster training data.

• Analyze product usage data to determine potential improvements in ASR processes, methods, and techniques.

• Collaborate with cross-functional teams to understand business requirements and deliver high-quality results.

• Stay updated on the latest advancements in the field and strive to enhance ASR performance across multiple languages.

Your Profile:

• Advanced degree (MSc or PhD) in computer science, computational linguistics, applied mathematics, or a related field.

• A minimum of 5 years of relevant work experience.

• Background in speech technology, computational linguistics, machine translation, and/or natural language processing.

• Extensive knowledge and practical experience with end-to-end Automatic Speech Recognition (ASR) and language modeling techniques.

• Solid understanding of machine learning principles, algorithms, and statistical methods.

• Proficient software engineering skills, with knowledge of scripting languages (e.g., shell scripting, Python) and experience working with both Linux and Windows platforms.

• Excellent critical and creative problem-solving abilities.

• Strong written and verbal communication skills in English.

Preferred Skills:

• Experience with generative AI, Large Language Models (LLMs), prompt engineering, and fine-tuning.

• Expertise in machine learning, statistical modeling, information retrieval, deep learning, or data mining.

• Fluent in at least one other non-English language.

We look forward to receiving your applications.